openemis-mcp-pro
Related Servers
Alternatives to openemis-mcp-pro
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceFree, read-only MCP server that connects AI assistants to OpenEMIS school management. Query student attendance, risks, staff, and 678 resources.647 npm4MIT
- FlicenseNot gradedqualityCmaintenanceAn MCP server that enables AI agents to safely query and act on school data (attendance, fees, student records) with strict role-based access control and a two-step write approval flow.-
- AlicenseNot gradedqualityCmaintenanceAn MCP server that enables AI assistants to interact with Odoo ERP, allowing natural language queries, record creation, updates, and deletions.LGPL 3.0
- AlicenseAqualityDmaintenanceUnified MCP server for Google Classroom, Drive, and Docs, enabling AI assistants to manage courses, assignments, files, and documents.17MIT
- AlicenseNot gradedqualityAmaintenanceAn MCP server that enables AI assistants to interact with Odoo ERP systems, allowing natural language access to business data, CRUD operations, and instance management without requiring Odoo module installation.1MIT
- FlicenseAqualityCmaintenanceMCP server that provides an AI assistant with access to Odoo business data, enabling read operations and human-approved record creation.3-
TDQS
Scored across 12 tools
Each tool has a clearly distinct purpose: health check, login/logout/whoami for session management, CRUD operations, discovery and playbook tools for exploration. No overlaps or ambiguous boundaries.
All tools follow the consistent 'openemis_verb_or_noun' pattern (e.g., openemis_get, openemis_create, openemis_login, openemis_list_domains). Names are predictable and descriptive.
12 tools is a well-scoped number for an API client covering authentication, CRUD, discovery, and playbooks. Each tool earns its place without being excessive or insufficient.
The tool surface covers the full lifecycle: health check, user login/logout/whoami, CRUD operations, and domain/playbook discovery. Batch fetching and filtering are supported via openemis_get, and workflow-controlled resources are handled via playbook tools.